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        <title>Low-resource named entity recognition via multi-source projection: Not quite there yet?</title>
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        <namePart type="given">Jan</namePart>
        <namePart type="given">Vium</namePart>
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    <name type="personal">
        <namePart type="given">Željko</namePart>
        <namePart type="family">Agić</namePart>
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            <namePart type="given">Alan</namePart>
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    <abstract>Projecting linguistic annotations through word alignments is one of the most prevalent approaches to cross-lingual transfer learning. Conventional wisdom suggests that annotation projection “just works” regardless of the task at hand. We carefully consider multi-source projection for named entity recognition. Our experiment with 17 languages shows that to detect named entities in true low-resource languages, annotation projection may not be the right way to move forward. On a more positive note, we also uncover the conditions that do favor named entity projection from multiple sources. We argue these are infeasible under noisy low-resource constraints.</abstract>
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%0 Conference Proceedings
%T Low-resource named entity recognition via multi-source projection: Not quite there yet?
%A Enghoff, Jan Vium
%A Harrison, Søren
%A Agić, Željko
%Y Xu, Wei
%Y Ritter, Alan
%Y Baldwin, Tim
%Y Rahimi, Afshin
%S Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text
%D 2018
%8 November
%I Association for Computational Linguistics
%C Brussels, Belgium
%F enghoff-etal-2018-low
%X Projecting linguistic annotations through word alignments is one of the most prevalent approaches to cross-lingual transfer learning. Conventional wisdom suggests that annotation projection “just works” regardless of the task at hand. We carefully consider multi-source projection for named entity recognition. Our experiment with 17 languages shows that to detect named entities in true low-resource languages, annotation projection may not be the right way to move forward. On a more positive note, we also uncover the conditions that do favor named entity projection from multiple sources. We argue these are infeasible under noisy low-resource constraints.
%R 10.18653/v1/W18-6125
%U https://aclanthology.org/W18-6125
%U https://doi.org/10.18653/v1/W18-6125
%P 195-201

Markdown (Informal)

[Low-resource named entity recognition via multi-source projection: Not quite there yet?](https://aclanthology.org/W18-6125) (Enghoff et al., WNUT 2018)

• Low-resource named entity recognition via multi-source projection: Not quite there yet? (Enghoff et al., WNUT 2018)

ACL

• Jan Vium Enghoff, Søren Harrison, and Željko Agić. 2018. Low-resource named entity recognition via multi-source projection: Not quite there yet?. In Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text, pages 195–201, Brussels, Belgium. Association for Computational Linguistics.